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<div class="title">Helpers.cpp</div>  </div>
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<a href="_helpers_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;{</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a131ea3f96ddd20058d2f866a012f1416">   35</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a131ea3f96ddd20058d2f866a012f1416">fill_mask_from_pattern</a>(uint8_t *mask, <span class="keywordtype">int</span> cols, <span class="keywordtype">int</span> rows, <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02">MatrixPattern</a> pattern)</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>                v = 0;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    std::mt19937                gen(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;seed());</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    std::bernoulli_distribution dist(0.5);</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; rows; ++r)</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    {</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> = 0; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> &lt; cols; ++<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a>, ++v)</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;        {</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;            uint8_t val = 0;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;            <span class="keywordflow">switch</span>(pattern)</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;            {</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02ae657cce1913c857166b0475f18668ef5">MatrixPattern::BOX</a>:</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;                    val = 255;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a04dd53a8e6c2306e9bbf944c1d6047f2">MatrixPattern::CROSS</a>:</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;                    val = ((r == (rows / 2)) || (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> == (cols / 2))) ? 255 : 0;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a290d4b81f4e2b47d86fd1b0170e9aab7">MatrixPattern::DISK</a>:</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                    val = (((r - rows / 2.0f + 0.5f) * (r - rows / 2.0f + 0.5f)) / ((rows / 2.0f) * (rows / 2.0f)) + ((<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> - cols / 2.0f + 0.5f) * (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> - cols / 2.0f + 0.5f)) / ((cols / 2.0f) *</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                            (cols / 2.0f))) &lt;= 1.0f ? 255 : 0;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb">MatrixPattern::OTHER</a>:</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                    val = (dist(gen) ? 0 : 255);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;                <span class="keywordflow">default</span>:</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                    <span class="keywordflow">return</span>;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;            }</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            mask[v] = val;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        }</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    }</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keywordflow">if</span>(pattern == <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb">MatrixPattern::OTHER</a>)</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        std::uniform_int_distribution&lt;uint8_t&gt; distribution_u8(0, ((cols * rows) - 1));</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        mask[distribution_u8(gen)] = 255;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    }</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;}</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7">   77</a></span>&#160;<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7">calculate_depth_concatenate_shape</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt; &amp;input_shapes)</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;{</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input_shapes.empty());</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape = input_shapes[0];</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keywordtype">size_t</span> max_x = 0;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keywordtype">size_t</span> max_y = 0;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordtype">size_t</span> depth = 0;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a> : input_shapes)</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    {</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        max_x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x(), max_x);</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        max_y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.y(), max_y);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        depth += <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.z();</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    }</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    out_shape.set(0, max_x);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    out_shape.set(1, max_y);</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    out_shape.set(2, depth);</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="keywordflow">return</span> out_shape;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;}</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c">  101</a></span>&#160;<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c">calculate_width_concatenate_shape</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt; &amp;input_shapes)</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;{</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input_shapes.empty());</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape = input_shapes[0];</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keywordtype">int</span> width = <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(input_shapes.begin(), input_shapes.end(), 0, [](<span class="keywordtype">int</span> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>)</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    {</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160; 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   params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">constant_border_value</a> = int_dist(gen);</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keywordflow">return</span> params;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;}</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">  134</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">convert_from_asymmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>)</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;{</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160; 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   <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>(); ++i)</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    {</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = quantization_info.<a class="code" href="structarm__compute_1_1_quantization_info.xhtml#a9f956adfa6525f0edd3c702e7e5afb8f">dequantize</a>(src[i]);</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    }</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;}</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">  146</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">convert_to_asymmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &amp;quantization_info)</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;{</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1, 0, quantization_info };</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>(); ++i)</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    {</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = quantization_info.quantize(src[i], <a class="code" href="namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95">RoundingPolicy::TO_NEAREST_UP</a>);</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    }</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;}</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6">  156</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6">matrix_multiply</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;out)</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;{</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(a.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0] != b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(a.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160; 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   <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>((in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]) || (in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]));</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> width  = in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> height = in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1];</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y &lt; height; ++y)</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    {</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x &lt; width; ++x)</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        {</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> val = in[x + y * width];</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;            out[x * height + y] = val;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;        }</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    }</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;}</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397">  200</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397">get_tile</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;tile, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord)</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;{</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().num_dimensions() != 2);</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> w_tile = tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> h_tile = tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1];</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    <span class="comment">// Fill the tile with zeros</span></div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    std::fill(tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>() + 0, (tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>() + (w_tile * h_tile)), <span class="keyword">static_cast&lt;</span>T<span class="keyword">&gt;</span>(0));</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <span class="comment">// Check if with the dimensions greater than 2 we could have out-of-bound reads</span></div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 2; d &lt; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Coordinates::num_max_dimensions</a>; ++d)</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    {</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;        <span class="keywordflow">if</span>(coord[d] &lt; 0 || coord[d] &gt;= static_cast&lt;int&gt;(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[d]))</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;        {</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;            <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;coord[d] &lt; 0 || coord[d] &gt;= in.shape()[d] with d &gt;= 2&quot;</span>);</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;        }</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    }</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    <span class="comment">// Since we could have out-of-bound reads along the X and Y dimensions,</span></div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="comment">// we start calculating the input address with x = 0 and y = 0</span></div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> start_coord = coord;</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    start_coord[0]          = 0;</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    start_coord[1]          = 0;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <span class="comment">// Get input and roi pointers</span></div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keyword">auto</span> in_ptr  = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>T *<span class="keyword">&gt;</span>(in(start_coord));</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <span class="keyword">auto</span> roi_ptr = <span class="keyword">static_cast&lt;</span>T *<span class="keyword">&gt;</span>(tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>());</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> x_in_start = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(0, coord[0]);</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> y_in_start = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(0, coord[1]);</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> x_in_end   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(static_cast&lt;int&gt;(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]), coord[0] + w_tile);</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> y_in_end   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(static_cast&lt;int&gt;(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]), coord[1] + h_tile);</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <span class="comment">// Number of elements to copy per row</span></div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> n = x_in_end - x_in_start;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <span class="comment">// Starting coordinates for the ROI</span></div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> x_tile_start = coord[0] &gt; 0 ? 0 : <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(coord[0]);</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> y_tile_start = coord[1] &gt; 0 ? 0 : <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(coord[1]);</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    <span class="comment">// Update input pointer</span></div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    in_ptr += x_in_start;</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    in_ptr += (y_in_start * in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="comment">// Update ROI pointer</span></div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    roi_ptr += x_tile_start;</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    roi_ptr += (y_tile_start * tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = y_in_start; y &lt; y_in_end; ++y)</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    {</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;        <span class="comment">// Copy per row</span></div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">std::copy</a>(in_ptr, in_ptr + n, roi_ptr);</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        in_ptr += in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;        roi_ptr += tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    }</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;}</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397">get_tile</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;roi, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord);</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00260">Error.h:260</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">FixedPoint.h:897</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_a376acef8954eadc70f4b55e8e0588e13"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#a376acef8954eadc70f4b55e8e0588e13">arm_compute::test::validation::HarrisCornersParameters::threshold</a></div><div class="ttdeci">float threshold</div><div class="ttdoc">Threshold. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00162">Helpers.h:162</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a131ea3f96ddd20058d2f866a012f1416"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a131ea3f96ddd20058d2f866a012f1416">arm_compute::test::validation::fill_mask_from_pattern</a></div><div class="ttdeci">void fill_mask_from_pattern(uint8_t *mask, int cols, int rows, MatrixPattern pattern)</div><div class="ttdoc">Fill mask with the corresponding given pattern. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00035">Helpers.cpp:35</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95"><div class="ttname"><a href="namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95">arm_compute::RoundingPolicy::TO_NEAREST_UP</a></div><div class="ttdoc">Rounds to nearest value; half rounds away from zero. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8f431b100088915a77ede3e283d1bdf6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6">arm_compute::test::validation::matrix_multiply</a></div><div class="ttdeci">void matrix_multiply(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, SimpleTensor&lt; float &gt; &amp;out)</div><div class="ttdoc">Matrix multiply between 2 float simple tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00156">Helpers.cpp:156</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aac40b7097f2bda9274ae07fa33d15a79"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">arm_compute::test::validation::a</a></div><div class="ttdeci">CLTensor a</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00121">GEMM.cpp:121</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02a290d4b81f4e2b47d86fd1b0170e9aab7"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a290d4b81f4e2b47d86fd1b0170e9aab7">arm_compute::MatrixPattern::DISK</a></div><div class="ttdoc">Disk pattern matrix. </div></div>
<div class="ttc" id="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
<div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00294">SimpleTensor.h:294</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ad9000ce99b9ffcec5722cade36d7e757"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">arm_compute::test::validation::reference::copy</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; copy(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;output_shape)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_copy_8cpp_source.xhtml#l00037">Copy.cpp:37</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adb95f9d6a10468f65e49ee944ce727d7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7">arm_compute::test::validation::calculate_depth_concatenate_shape</a></div><div class="ttdeci">TensorShape calculate_depth_concatenate_shape(const std::vector&lt; TensorShape &gt; &amp;input_shapes)</div><div class="ttdoc">Calculate output tensor shape give a vector of input tensor to concatenate. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00077">Helpers.cpp:77</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8699515548dd02392dce1e359767408c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c">arm_compute::test::validation::calculate_width_concatenate_shape</a></div><div class="ttdeci">TensorShape calculate_width_concatenate_shape(const std::vector&lt; TensorShape &gt; &amp;input_shapes)</div><div class="ttdoc">Calculate output tensor shape give a vector of input tensor to concatenate. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00101">Helpers.cpp:101</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_adbc7a7f2ed8211ad938edc9e795fbb6f"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">arm_compute::test::validation::HarrisCornersParameters::constant_border_value</a></div><div class="ttdeci">uint8_t constant_border_value</div><div class="ttdoc">Border value. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00165">Helpers.h:165</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a291a16e64b05bdf4d08e1240d5bb286a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">arm_compute::test::validation::convert_to_asymmetric</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; convert_to_asymmetric(const SimpleTensor&lt; float &gt; &amp;src, const QuantizationInfo &amp;quantization_info)</div><div class="ttdoc">Convert float simple tensor into quantized using specified quantization information. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00146">Helpers.cpp:146</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_ac518d2e94791ccc6f84de95271e52c76"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#ac518d2e94791ccc6f84de95271e52c76">arm_compute::test::validation::HarrisCornersParameters::sensitivity</a></div><div class="ttdeci">float sensitivity</div><div class="ttdoc">Sensitivity. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00163">Helpers.h:163</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a0c52a8f0085b55d907af7210ef2069d0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">arm_compute::test::SimpleTensor::data</a></div><div class="ttdeci">const T * data() const </div><div class="ttdoc">Constant pointer to the underlying buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00398">SimpleTensor.h:398</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr&lt; AssetsLibrary &gt; library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00059">main.cpp:59</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number </div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_aa464047f090200f942a1e47c29fff783"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#aa464047f090200f942a1e47c29fff783">arm_compute::test::validation::HarrisCornersParameters::min_dist</a></div><div class="ttdeci">float min_dist</div><div class="ttdoc">Minimum distance. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00164">Helpers.h:164</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a5f63b63606dbbbe54474e6e970a6738c"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">arm_compute::test::SimpleTensor::data_layout</a></div><div class="ttdeci">DataLayout data_layout() const override</div><div class="ttdoc">Data layout of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00331">SimpleTensor.h:331</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad03c1c39d75226aecd5acd8e3959b02a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad03c1c39d75226aecd5acd8e3959b02a">arm_compute::test::validation::harris_corners_parameters</a></div><div class="ttdeci">HarrisCornersParameters harris_corners_parameters()</div><div class="ttdoc">Generate parameters for Harris Corners algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00116">Helpers.cpp:116</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml">arm_compute::test::validation::HarrisCornersParameters</a></div><div class="ttdoc">Parameters of Harris Corners algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00160">Helpers.h:160</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
<div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml_a9f956adfa6525f0edd3c702e7e5afb8f"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml#a9f956adfa6525f0edd3c702e7e5afb8f">arm_compute::QuantizationInfo::dequantize</a></div><div class="ttdeci">float dequantize(qasymm8_t value) const </div><div class="ttdoc">Dequantizes a value using the scale/offset in this QuantizationInfo. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00189">Types.h:189</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab9399f3f1910e0f236cd6f4613bd4397"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397">arm_compute::test::validation::get_tile</a></div><div class="ttdeci">void get_tile(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;tile, const Coordinates &amp;coord)</div><div class="ttdoc">Get a 2D tile from a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00200">Helpers.cpp:200</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab24849be91cfb00a72f7a61a7e00fdb7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">arm_compute::test::validation::convert_from_asymmetric</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; convert_from_asymmetric(const SimpleTensor&lt; uint8_t &gt; &amp;src)</div><div class="ttdoc">Convert quantized simple tensor into float using tensor quantization information. ...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00134">Helpers.cpp:134</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::SimpleTensor::num_elements</a></div><div class="ttdeci">int num_elements() const override</div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00386">SimpleTensor.h:386</a></div></div>
<div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a497347573faa3778743ddf277f861094"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">arm_compute::test::validation::c</a></div><div class="ttdeci">CLTensor c</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00123">GEMM.cpp:123</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
<div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00127">Types.h:127</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ae115fc750a92fb6a5e094998b56fcc56"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">arm_compute::test::fixed_point_arithmetic::detail::abs</a></div><div class="ttdeci">fixed_point&lt; T &gt; abs(fixed_point&lt; T &gt; x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00927">FixedPoint.h:927</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::test::SimpleTensor::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Quantization info in case of asymmetric quantized type. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00312">SimpleTensor.h:312</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af07d79246ecf85a072b0d948e7142464"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af07d79246ecf85a072b0d948e7142464">arm_compute::test::validation::transpose_matrix</a></div><div class="ttdeci">void transpose_matrix(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;out)</div><div class="ttdoc">Transpose matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00181">Helpers.cpp:181</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02ae657cce1913c857166b0475f18668ef5"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02ae657cce1913c857166b0475f18668ef5">arm_compute::MatrixPattern::BOX</a></div><div class="ttdoc">Box pattern matrix. </div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions&lt; int &gt;::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7b8004eef325a40dd43eb80755610fff"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">arm_compute::test::validation::b</a></div><div class="ttdeci">CLTensor b</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00122">GEMM.cpp:122</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02a04dd53a8e6c2306e9bbf944c1d6047f2"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a04dd53a8e6c2306e9bbf944c1d6047f2">arm_compute::MatrixPattern::CROSS</a></div><div class="ttdoc">Cross pattern matrix. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02">arm_compute::MatrixPattern</a></div><div class="ttdeci">MatrixPattern</div><div class="ttdoc">Available matrix patterns. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00498">Types.h:498</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb">arm_compute::MatrixPattern::OTHER</a></div><div class="ttdoc">Any other matrix pattern. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
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